Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models

HIGHLIGHTS

• who: Justin Couetil from the Eisai, United States Norwegian University of Science have published the paper: Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models, in the Journal: (JOURNAL) of 06/01/2023
• what: This work provided very accurate classification for patients with more advanced disease (skewed toward Stages II-III). The work the authors in focuses on developing a machine_learning pipeline to identify the reliable and interpretable H and amp;E histopathology image features to predict 5years survival and metastasis using the primary site biopsies from Stages I, II, and . . .
  

   

  

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